Seminar #1
Title: Imaging in Radio Interferometry - What do we measure, model and make decisions about?
Presenter: Urvashi Rau (NRAO)

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11 AM CT / 12PM ET

Talk recording here

Abstract: In this talk, I will summarize the signal acquisition, data processing, and image analysis steps encountered in radio interferometry. Along the way, I will highlight what it is that we measure, model, infer and make decisions and educated guesses about as we transform large volumes of raw data into results ready for astrophysical interpretation. The goal is to give colleagues unfamiliar with radio interferometric techniques a clear foundation, so that opportunities for applying new ML/AI methods become easier to recognize. I will finish by summarizing current ML/AI research in the radio interferometry community and how it fits into this framework.

Speaker Bio: An algorithm scientist with 20+ years of experience in image reconstruction techniques and data analysis software for radio interferometry. Technical specializations are in wide-band and wide-field imaging, interference mitigation, imaging with radar systems, and automation of scientific analysis workflows. An area of particular interest is the technical synergy between imaging techniques in radio astronomy, medical imaging and radar applications and opportunities for cross-pollination of ideas. (History: undergraduate and graduate degrees in Physics and Computer Science, and employed on the NRAO scientific staff since 2010)